| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.352 | | leniency | 0.704 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1394 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 89.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1394 | | totalAiIsms | 3 | | found | | | highlights | | 0 | "navigated" | | 1 | "measured" | | 2 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "room fell silent" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1404 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 707 | | uniqueNames | 9 | | maxNameDensity | 0.71 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 5 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 4 | | Lucien | 4 | | Eva | 4 | | Rain | 2 | | Barely | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Eva" | | 5 | "Rain" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1404 | | matches | (empty) | |
| 94.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 92 | | matches | | 0 | "chose that moment" | | 1 | "took that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 25.07 | | std | 26.62 | | cv | 1.062 | | sampleLengths | | 0 | 18 | | 1 | 11 | | 2 | 6 | | 3 | 54 | | 4 | 2 | | 5 | 4 | | 6 | 18 | | 7 | 12 | | 8 | 4 | | 9 | 24 | | 10 | 51 | | 11 | 9 | | 12 | 53 | | 13 | 3 | | 14 | 33 | | 15 | 44 | | 16 | 1 | | 17 | 7 | | 18 | 3 | | 19 | 19 | | 20 | 66 | | 21 | 25 | | 22 | 6 | | 23 | 8 | | 24 | 13 | | 25 | 59 | | 26 | 3 | | 27 | 4 | | 28 | 51 | | 29 | 6 | | 30 | 6 | | 31 | 121 | | 32 | 3 | | 33 | 78 | | 34 | 5 | | 35 | 81 | | 36 | 11 | | 37 | 78 | | 38 | 17 | | 39 | 14 | | 40 | 9 | | 41 | 59 | | 42 | 29 | | 43 | 25 | | 44 | 8 | | 45 | 18 | | 46 | 7 | | 47 | 10 | | 48 | 83 | | 49 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 119 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 92 | | ratio | 0.054 | | matches | | 0 | "Water beaded in his platinum hair, and beneath it those mismatched eyes — one amber, one black — fixed on her with the patience of a man who had rehearsed this moment on the entire walk over and abandoned every word of it at the threshold." | | 1 | "Lucien stepped in the way he always had — as though rooms rearranged themselves for him out of professional courtesy." | | 2 | "Somewhere under a teetering stack of scrolls, Eva's kettle clicked off — Rory didn't remember switching it on." | | 3 | "He took that the way men take blows they've already agreed they deserve — still, eyes open." | | 4 | "Then she shot the deadbolts — one, two, three — with him on the inside of them." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 704 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.028409090909090908 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002840909090909091 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 15.26 | | std | 14.12 | | cv | 0.925 | | sampleLengths | | 0 | 18 | | 1 | 11 | | 2 | 6 | | 3 | 8 | | 4 | 46 | | 5 | 2 | | 6 | 4 | | 7 | 5 | | 8 | 13 | | 9 | 12 | | 10 | 4 | | 11 | 9 | | 12 | 15 | | 13 | 7 | | 14 | 44 | | 15 | 9 | | 16 | 20 | | 17 | 24 | | 18 | 9 | | 19 | 3 | | 20 | 28 | | 21 | 5 | | 22 | 9 | | 23 | 35 | | 24 | 1 | | 25 | 7 | | 26 | 3 | | 27 | 15 | | 28 | 4 | | 29 | 5 | | 30 | 18 | | 31 | 21 | | 32 | 12 | | 33 | 10 | | 34 | 4 | | 35 | 21 | | 36 | 6 | | 37 | 8 | | 38 | 10 | | 39 | 3 | | 40 | 26 | | 41 | 1 | | 42 | 8 | | 43 | 24 | | 44 | 3 | | 45 | 4 | | 46 | 31 | | 47 | 1 | | 48 | 19 | | 49 | 6 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.44565217391304346 | | totalSentences | 92 | | uniqueOpeners | 41 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 50 | | matches | | 0 | "Somewhere under a teetering stack" | | 1 | "Instead her pulse hammered at" | | 2 | "Then she shot the deadbolts" |
| | ratio | 0.06 | |
| 28.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 50 | | matches | | 0 | "She shut the door." | | 1 | "It caught on his cane." | | 2 | "His voice came low through" | | 3 | "Her hand stayed flat against" | | 4 | "she told the cat, and" | | 5 | "He navigated the towers of" | | 6 | "She stayed by the door," | | 7 | "He nodded at the ceiling" | | 8 | "She watched him take in" | | 9 | "He turned the cane over" | | 10 | "She'd promised herself, in the" | | 11 | "Her father's daughter, all cross-examination" | | 12 | "Her voice held" | | 13 | "He looked up at her," | | 14 | "He set the cane against" | | 15 | "He gestured at her, at" | | 16 | "She pushed off the door" | | 17 | "He took that the way" | | 18 | "She looked at him." | | 19 | "She closed the last of" |
| | ratio | 0.48 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 50 | | matches | | 0 | "The third deadbolt turned and" | | 1 | "Lucien Moreau stood on the" | | 2 | "Rain darkened the shoulders of" | | 3 | "Water beaded in his platinum" | | 4 | "She shut the door." | | 5 | "It caught on his cane." | | 6 | "The ivory handle wedged itself" | | 7 | "His voice came low through" | | 8 | "Her hand stayed flat against" | | 9 | "she told the cat, and" | | 10 | "Lucien stepped in the way" | | 11 | "He navigated the towers of" | | 12 | "Ptolemy leapt up beside him" | | 13 | "She stayed by the door," | | 14 | "He nodded at the ceiling" | | 15 | "Something moved behind the amber" | | 16 | "Rain ticked against the window." | | 17 | "She watched him take in" | | 18 | "Pyjama bottoms, one of Eva's" | | 19 | "He turned the cane over" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "Water beaded in his platinum hair, and beneath it those mismatched eyes — one amber, one black — fixed on her with the patience of a man who had rehearsed this …" | | 1 | "Lucien stepped in the way he always had — as though rooms rearranged themselves for him out of professional courtesy." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 54 | | tagDensity | 0.148 | | leniency | 0.296 | | rawRatio | 0.125 | | effectiveRatio | 0.037 | |